Deequ vs Informatica Data Quality & Observability
Verdict: Deequ scores 8.4/10 against 8.2/10 for Informatica Data Quality & Observability on our data score for data quality tools.
Deequ has a free plan; Informatica Data Quality & Observability does not.
Deequ leads on 2 checks and Informatica Data Quality & Observability on 1; 3 are even, out of 6 checks (yes/no, price and seats) where we have data for both.
Choose Deequ for spark and Scala/Python engineers validating large datasets in batch pipelines. Choose Informatica Data Quality & Observability for large enterprises already using Informatica IDMC or PowerCenter.
Scoreboard: 6 checks
| Check | Deequ | Informatica Data Quality & Observability |
|---|---|---|
| Free plan | Leads | |
| Free trial | Leads | |
| Smaller seat minimum | Even | Even |
| Data profiling | Even | Even |
| Custom rule checks | Even | Even |
| Open source | Leads | |
| Total | 2 | 1 |
At a glance
| Deequ | Informatica Data Quality & Observability | |
|---|---|---|
| Score | 8.4/10 (#3) | 8.2/10 (#5) |
| Best for | Spark and Scala/Python engineers validating large datasets in batch pipelines | Large enterprises already using Informatica IDMC or PowerCenter |
| Free plan | Yes | No |
| Paid from (annual) | See vendor | See vendor |
| Paid from (monthly) | — | — |
| Free trial | — | Free 30-day trial (Cloud Data Quality) |
| Minimum seats | 1 | 1 |
| Platforms | Self-hosted (Apache Spark library) | Cloud (SaaS) |
Features
| Tool | Score | Data profiling | Custom rule checks | ML anomaly detection | Data cleansing / correction | Open source |
|---|---|---|---|---|---|---|
| Deequ | 8.4/10 | Yes | Yes | Not confirmed | Not confirmed | Yes |
| Informatica Data Quality & Observability | 8.2/10 | Yes | Yes | Yes | Yes | No |
- Only Deequ confirms: Open source.
- Only Informatica Data Quality & Observability confirms: ML anomaly detection, Data cleansing / correction.
Pros and cons
Deequ
Pros- Free and open source (Apache-2.0)
- Scales with Apache Spark for very large datasets
- Automatic constraint suggestion and column profiling
- Supports AWS Data Quality Definition Language (DQDL) rules
- Library only: no UI, scheduling or alerting built in
- Requires Spark; releases are tied to specific Spark versions
- Recent versions (2.1.0+) require Java 11
Informatica Data Quality & Observability
Pros- Covers profiling, rules, cleansing and standardization in one service
- Observability tracks freshness, volume, distribution, schema change and lineage
- Consumption (IPU) pricing shares one pool of units across eligible IDMC services
- 30-day free trial of Cloud Data Quality
- No published IPU prices; a quote is needed even for a price range
- IPU consumption is metered per scaler, which makes costs harder to estimate up front
- Alert channels are not described on the product page
Frequently asked questions
How do Deequ and Informatica Data Quality & Observability compare on features and price?
Deequ leads on 2 checks and Informatica Data Quality & Observability on 1; 3 are even, out of 6 checks (yes/no, price and seats) where we have data for both.
Is Deequ better than Informatica Data Quality & Observability?
Deequ scores 8.4/10 against 8.2/10 for Informatica Data Quality & Observability on our data score for data quality tools. Deequ is best for spark and Scala/Python engineers validating large datasets in batch pipelines; Informatica Data Quality & Observability is best for large enterprises already using Informatica IDMC or PowerCenter.
Which is cheaper, Deequ or Informatica Data Quality & Observability?
Check each vendor's pricing page; one of them does not publish an entry price.
Do Deequ and Informatica Data Quality & Observability have free plans?
Deequ: yes. Informatica Data Quality & Observability: no.
See the full Data Quality Tools ranking for other options.
Sources
- Deequ: official pricing page · Deequ GitHub repository · Deequ on Maven Central
- Informatica Data Quality & Observability: official pricing page · Informatica Data Quality & Observability product page · Informatica IDMC pricing page · Informatica Cloud Data Quality free trial page